What are the hardware requirements for Bitnet M7 Resized?

Bitnet M7 Resized requires approximately 1.1 GB of VRAM and supports a context window of 2K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Bitnet M7 Resized and how large is it?

Bitnet M7 Resized is developed by liminerity, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Bitnet M7 Resized?

Bitnet M7 Resized is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Bitnet M7 Resized by liminerity — VRAM 1.1GB, 2K context

Name: Bitnet M7 Resized
Author: liminerity

Bitnet M7 Resized is an open-source language model by liminerity. Features: 7b LLM, VRAM: 1.1GB, Context: 2K, LLM Explorer Score: 0.12.

Conversational Endpoints compatible Mistral Region:us Safetensors

Model Card on HF 🤗: https://huggingface.co/liminerity/Bitnet-M7-resized

Bitnet M7 Resized Parameters and Internals

LLM Name	Bitnet M7 Resized
Repository 🤗	https://huggingface.co/liminerity/Bitnet-M7-resized
Model Size	7b
Required VRAM	1.1 GB
Updated	2026-06-07
Maintainer	liminerity
Model Type	mistral
Model Files	1.1 GB 0.0 GB
Model Architecture	MistralForCausalLM
Context Length	2048
Model Max Length	2048
Transformers Version	4.38.2
Tokenizer Class	LlamaTokenizer
Padding Token	</s>
Vocabulary Size	32000
Torch Data Type	float32

Rank the Bitnet M7 Resized capabilities

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Instruction Following and Task Automation
Factuality and Completeness of Knowledge
Censorship and Alignment
Data Analysis and Insight Generation
Text Generation
Text Summarization and Feature Extraction
Code Generation
Multi-Language Support and Translation

Best Alternatives to Bitnet M7 Resized

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...Nemo Instruct 2407 Abliterated	1000K / 24.5 GB	220	20
MegaBeam Mistral 7B 512K	512K / 14.4 GB	8470	54
SpydazWeb AI HumanAI RP	512K / 14.4 GB	16	1
SpydazWeb AI HumanAI 002	512K / 14.4 GB	18	1
...daz Web AI ChatML 512K Project	512K / 14.5 GB	12	0
MegaBeam Mistral 7B 300K	282K / 14.4 GB	3779	16
MegaBeam Mistral 7B 300K	282K / 14.4 GB	8018	17
Hebrew Mistral 7B 200K	256K / 30 GB	23	15
Astral 256K 7B	250K / 14.4 GB	9	0
Astral 256K 7B V2	250K / 14.4 GB	8	0

Note: green Score (e.g. "73.2") means that the model is better than liminerity/Bitnet-M7-resized.